Parametric Nonstationary Random Vibration Modeling with SHM Applications
暂无分享,去创建一个
[1] Paul R. White,et al. THE ANALYSIS OF NON-STATIONARY SIGNALS USING TIME-FREQUENCY METHODS , 1996 .
[2] Lennart Ljung,et al. System Identification: Theory for the User , 1987 .
[3] Maciej Niedzwiecki,et al. Identification of Time-Varying Processes , 2000 .
[4] M. B. Priestley,et al. Non-linear and non-stationary time series analysis , 1990 .
[5] André Preumont,et al. Random Vibration and Spectral Analysis , 2010 .
[6] Spilios D. Fassois,et al. Adaptable functional series TARMA models for non-stationary signal representation and their application to mechanical random vibration modeling , 2014, Signal Process..
[7] Spilios D. Fassois,et al. Non-stationary random vibration modelling and analysis via functional series time-dependent ARMA (FS-TARMA) models – A critical survey , 2014 .
[8] Spilios D. Fassois,et al. VibrationñBased OnñLine Fault Detection in Non-Stationary Structural Systems via a Statistical Model Based Method , 2004 .
[9] S. Fassois,et al. Asymptotic analysis of non-stationary functional series TAR estimators , 2007, 2007 Mediterranean Conference on Control & Automation.
[10] Charles R. Farrar,et al. Structural Health Monitoring: A Machine Learning Perspective , 2012 .
[11] P. Spanos,et al. Random vibration and statistical linearization , 1990 .
[12] Gwilym M. Jenkins,et al. Time series analysis, forecasting and control , 1972 .
[13] Spilios D. Fassois,et al. Generalized Stochastic Constraint TARMA Models for In-Operation Identification of Wind Turbine Non-Stationary Dynamics , 2013 .
[14] G. Kitagawa,et al. Smoothness Priors in Time Series. , 1987 .
[15] Spilios D. Fassois,et al. Output-only stochastic identification of a time-varying structure via functional series TARMA models , 2009 .
[16] John S. Owen,et al. The application of auto–regressive time series modelling for the time–frequency analysis of civil engineering structures , 2001 .
[17] G. N. Fouskitakis,et al. Functional series TARMA modelling and simulation of earthquake ground motion , 2002 .
[18] F. Kozin,et al. Autoregressive moving average models of earthquake records , 1988 .
[19] Spilios D. Fassois,et al. An FS-TAR based method for vibration-response-based fault diagnosis in stochastic time-varying structures: Experimental application to a pick-and-place mechanism , 2013 .
[20] Spilios D. Fassois,et al. Parametric time-domain methods for non-stationary random vibration modelling and analysis — A critical survey and comparison , 2006 .
[21] J. Bendat,et al. Random Data: Analysis and Measurement Procedures , 1971 .
[22] Fulei Chu,et al. Recent advances in time–frequency analysis methods for machinery fault diagnosis: A review with application examples , 2013 .
[23] T. Rao. The Fitting of Non-stationary Time-series Models with Time-dependent Parameters , 1970 .
[24] G. Kitagawa. Smoothness priors analysis of time series , 1996 .